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Hide-and-seek: face recognition in private

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conference contribution
posted on 19.04.2016 by Yogachandran Rahulamathavan, Muttukrishnan Rajarajan
Recent trend towards cloud computing and outsourcing has led to the requirement for face recognition (FR) to be performed remotely by third-party servers. When outsourcing the FR, client's test image and classification result will be revealed to the servers. Within this context, we propose a novel privacy-preserving (PP) FR algorithm based on randomization. Existing PP FR algorithms are based on homomorphic encryption (HE) which requires higher computational power and communication bandwidth. Since we use randomization, the proposed algorithm outperforms the HE based algorithm in terms of computational and communication complexity. We validated our algorithm using popular ORL database. Experimental results demonstrate that accuracy of the proposed algorithm is the same as the accuracy of existing algorithms, while improving the computational efficiency by 120 times and communication complexity by 2.5 times against the existing HE based approach.

History

School

  • Loughborough University London

Published in

IEEE International Conference on Communications

Volume

2015-September

Pages

7102 - 7107

Citation

RAHULAMATHAVAN, Y. and MUTTUKRISHNAN, R., 2015. Hide-and-seek: face recognition in private. IN: 2015 IEEE International Conference on Communications, London, Great Britain, 8-12 June 2015, pp. 7102-7107.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781467364324

ISSN

1550-3607

Language

en

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